69 citations
- Universidade Federal do Rio Grande do NorteBR21 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- University of BristolGB4 papers
- Institute for Space Astrophysics and PlanetologyIT3 papers
- Instituto de Astrofísica de CanariasES3 papers
- Osservatorio Astrofisico di CataniaIT3 papers
- Universidad de La LagunaES3 papers
- Universidade Federal da ParaíbaBR3 papers
- Aarhus UniversityDK2 papers
- Astrophysique, Instrumentation et ModélisationFR2 papers
- CEA Paris-SaclayFR2 papers
- Center for Astrophysics Harvard & SmithsonianUS2 papers
28 papers
A Robust Framework for Secure Cardiovascular Risk Prediction: An Architectural Case Study of Differentially Private Federated Learning
Rodrigo Tertulino, Laércio Alencar
Accurate cardiovascular risk prediction is crucial for preventive healthcare; however, the development of robust Artificial Intelligence (AI) models is hindered by the fragmentatio…
A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata
Rodrigo Tertulino, Laércio Alencar
Identifying the factors that influence student performance in basic education is a central challenge for formulating effective public policies in Brazil. This study introduces a mu…
Entanglement distribution in quantum networks via swapping of partially entangled pure states
Henrique Guerra, Tailan S. Sarubi, Rafael Chaves +1
The entanglement swapping protocol (ESP) is a fundamental primitive for distributing quantum correlations across distant nodes in a quantum network. Recent studies have demonstrate…
Phoeni6: a Systematic Approach for Evaluating the Energy Consumption of Neural Networks
Antônio Oliveira-Filho, Wellington Silva-de-Souza, Carlos Alberto Valderrama Sakuyama +1
This paper presents Phoeni6, a systematic approach for assessing the energy consumption of neural networks while upholding the principles of fair comparison and reproducibility. Ph…
Pathwise guessing in categorical time series with unbounded alphabets
J. -R. Chazottes, S. Gallo, D. Takahashi
The following learning problem arises naturally in various applications: Given a finite sample from a categorical or count time series, can we learn a function of the sample that (…
TESS Asteroseismic Analysis of HD 76920: The Giant Star Hosting An Extremely Eccentric Exoplanet
Chen Jiang, Tao Wu, Adina D. Feinstein +30
The Transiting Exoplanet Survey Satellite (TESS) mission searches for new exoplanets. The observing strategy of TESS results in high-precision photometry of millions of stars acros…